Chenchen Feng

Chenchen Feng

Studying...

櫻ノ詩

About Me

Hello! My name is Chenchen Feng, and I am a second-year graduate student specializing in Computer Science. I am interested in Evolutionary Computation, Backend and LLM. I love playing games. At the same time, I am a homebody, love ACG, have seen 500+ animations and played over 100 GalGames. If you also love ACG, please add me as a bangumi friend.

  • Location: [Shenzhen, China]
  • Institution: [Southern University of Science and Technology(SUSTech)]
  • Email: chenchenfengcn@gmail.com

Education

  • Master of Computer Science, Southern University of Science and Technology (SUSTech), 2024–Present

  • Bachelor of Computer Science, Southern University of Science and Technology (SUSTech), 2020–2024     

    • Thesis: “MetaDE: Evolving Differential Evolution by Differential Evolution”

Work Experience

  • Security LLM Intern, Sangfor Technologies Inc. November 2025 - February 2026
    • Optimized MoE models for distributed training efficiency and improved key metrics by 3%-21% through curriculum learning-based instruction tuning.
    • Applied reinforcement learning algorithms like GRPO to enhance model alignment and compliance in complex real-world environments.
  • Intern, Kevin Software Information Services Co., Ltd.
    October 2022 - January 2023
    • Designed and built an extensible hotel database using MySQL to facilitate development.
    • Developed back-end features in C#, including user registration, room search, room booking, payment transactions, and order reviews.

Projects and Interests

  • AI Academic Research Assistant (LLM Application)
    • Built a RAG engine with traceable citations to reduce hallucinations and designed a parallel Agent architecture to optimize retrieval speed.
    • Developed a robust Streamlit Web interface with multi-layer degradation mechanisms, ensuring high availability for batch document processing.
  • Supercritical Airfoil Design and Optimization
    (Python, Matlab)
    • Designed and optimized a supercritical airfoil for a large wide-body passenger aircraft using deep learning.
    • Achieved superior performance in flutter coefficient and lift-to-drag ratio compared to manual designs.
  • Research Fund Management System
    (SpringBoot, MySQL, VUE)
    • Developed a system for university faculty to manage fund applications and approvals, featuring data visualization, messaging, and high concurrency.
  • P2P File Transfer with UDP and Congestion Control
    (Python)
    • Built a UDP-based P2P file transfer system with TCP-like reliability using congestion control techniques.

Publications

  • MetaDE: Evolving Differential Evolution by Differential Evolution - TEVC
    • MetaDE is a GPU-accelerated evolutionary framework that optimizes Differential Evolution (DE) strategies via meta-level evolution. The source code of MetaDE is publicly accessible at: https://github.com/EMI-Group/metade.
  • Unleashing the Potential of Differential Evolution through Individual-Level Strategy Diversity - TEVC
    • iStratDE is a GPU-accelerated Differential Evolution framework that enhances performance through individual-level strategy diversity. The source code of iStratDE is publicly accessible at: https://github.com/EMI-Group/istratde.